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Multilevel Statistical Models
Throughout the social, medical and other sciences the importance of understanding complex hierarchical data structures is well understood. Multilevel modelling is now the accepted statistical technique for handling such data and is widely available in computer software packages. A thorough understanding of these techniques is therefore important for all those working in these areas. This new edition of Multilevel Statistical Models brings these techniques together, starting from basic ideas and illustrating how more complex models are derived. Bayesian methodology using MCMC has been extended along with new material on smoothing models, multivariate responses, missing data, latent normal tra...
Multilevel Statistical Models
The basic linear multilevel model and its estimation - Extensions to the basic multilevel model - The multivariate multilevel model - Nonlinear multilevel models - Models for repeated meadures data - Multilevel models for discrete response data - Multilevel cross classification - Multilevel event history models - Multilevel models with measurement errors - Software for multilevel modelling; missing data and multilevel structural equation models.
Stars of David
A fascinating look into how Judaism has shaped and influenced the makers of rock music over the past fifty years.
Methodology and Epistemology of Multilevel Analysis
The purpose of the multilevel approach is to understand individual behaviors taking into account the social context in which they occur. This book deals with concepts and methods underlying this approach. This book is of interest to a broad audience of social scientists, statisticians and philosophers concerned with new issues raised by the multilevel approach, and more generally with explanation in the social sciences.
A Hungry Heart
A legendary American photographer, composer, filmmaker, and author of both fiction and nonfiction reflects upon his amazing achievements, both personal and professional.
Methodological Developments in Data Linkage
A comprehensive compilation of new developments in data linkage methodology The increasing availability of large administrative databases has led to a dramatic rise in the use of data linkage, yet the standard texts on linkage are still those which describe the seminal work from the 1950-60s, with some updates. Linkage and analysis of data across sources remains problematic due to lack of discriminatory and accurate identifiers, missing data and regulatory issues. Recent developments in data linkage methodology have concentrated on bias and analysis of linked data, novel approaches to organising relationships between databases and privacy-preserving linkage. Methodological Developments in Da...
He's a Rebel
Spector's achievements are well-chronicled in this tightly-written and very accessible book.
The Design and Analysis of Longitudinal Studies
The theory and practice of longitudinal studies; Sampling and design; The choice of measurement scales over time; The analysis of models for time related measurement; The analysis of models for relating measurements at differene occasions; Population standards or norms; Data processing.
Technology in the Garden
More than half of the 116 research parks now operating in the United States were established during the 1980s, with the aim of boosting regional economic growth. But until now no one has systematically analyzed whether research parks do in fact generate new businesses and jobs. Using their own surveys of all existing parks and case studies of three of the most successful--Research Triangle Park in North Carolina, Stanford Research Park in California, and the University of Utah Research Park--Michael Luger and Harvey Goldstein examine the economic impact of such facilities. As the name suggests, a research park is typically meant to provide a spacious setting where basic and applied technolog...
